A bi-objective hybrid genetic algorithm to minimize energy consumption and makespan for precedence-constrained applications using dynamic voltage scaling.
Mohand-Said MezmazYoung Choon LeeNouredine MelabEl-Ghazali TalbiAlbert Y. ZomayaPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- energy consumption
- hybrid genetic algorithm
- bi objective
- wireless sensor networks
- energy saving
- energy efficient
- energy efficiency
- sensor networks
- multi objective
- energy conservation
- efficient solutions
- routing protocol
- data center
- multi objective optimization
- power system
- network design
- sensor nodes
- routing algorithm
- multiple objectives
- neural network
- scheduling problem
- lower bound
- shortest path problem
- quadratic assignment problem
- total energy
- residual energy
- ant colony optimization
- np hard
- nsga ii
- optimization problems
- special case
- optimal solution
- objective function